plot.proximity {randomSurvivalForest} | R Documentation |
Multidimensional scaling plot of proximity matrix.
plot.proximity(x, ...)
x |
An object of class (rsf, grow) or (rsf,
predict) . Note that proximity =TRUE must be used in
the original rsf call. |
... |
Further arguments passed to or from other methods. |
Extracts proximity information from x
and converts this to a
symmetric proximity matrix. Dissimilarities between points are then
converted into distances using the R multidimensional scaling function
cmdscale
and then plotted. Overlayed on the plot are mortality
values, rescaled from 1-100, with 1 indicating low mortality, and 100
indicating high mortality. Mortality values will be well separated in
successful analyses.
Invisibly, the proximity matrix.
Hemant Ishwaran hemant.ishwaran@gmail.com and Udaya B. Kogalur ubk2101@columbia.edu
H. Ishwaran and Udaya B. Kogalur (2006). Random Survival Forests. Cleveland Clinic Technical Report.
rsf
,
predict.rsf
.
data(pbc, package = "randomSurvivalForest") pbc.prox.out <- rsf(Survrsf(days,status)~., pbc, ntree = 1000, proximity = TRUE) plot.proximity(pbc.prox.out)